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Understanding the category

An AI operator is designed to perform operational work.

It does more than answer questions or extract data. It observes an event, reconstructs its context, applies workflow rules and chooses how to act in the authorised tools.

See VigiloExplore the operating loop
Context reconstructed
Action verified

The operating loop

Understand, act, verify, then know when to stop.

Select a step. The ability to recognise an exception matters as much as the action itself.

An event arrives

Observe

A request, document or change enters the defined scope.

Complementary technologies

Different roles, often used together.

These technologies are not competing choices. An operator can use OCR, an API or deterministic automation when they suit the system and the required level of reliability.

Reply

Chatbot

Produces a response to a user request.

Recognise

OCR

Primarily turns visual content into machine-readable characters.

Connect

API

Allows systems to communicate through a defined contract.

Repeat

RPA

Follows a deterministic sequence of actions in an interface or system.

Perform

AI operator

Reconstructs context, applies rules, chooses an execution method, verifies the outcome and hands off exceptions.

Adaptation built into the product

One objective. Several ways to execute it.

Depending on the TMS, available access and the team’s practices, Vigilo can use an API, navigate an interface, process an email or file, or prepare an action for approval. The intent, controls and audit trail remain consistent; the execution path adapts to the workflow in use.

This adaptation can evolve with the operation. When a decision recurs in comparable situations, Vigilo keeps it as evidence and can propose a candidate rule. The team validates its meaning, scope and exceptions before it is reused.

See how deployment works

Resources

Evaluate the category without shortcuts

AI operators & technology 9 min read

AI agent, RPA, OCR or API: choosing the right building block for a transport workflow

A practical comparison of AI agents, RPA, OCR and APIs for automating a transport workflow without setting complementary technologies against one another.

Read the resource
AI operators & technology 8 min read

Deploying an AI operator progressively: observe before authorising action

A progressive deployment protocol for measuring an AI operator in transport before extending its access rights and scope.

Read the resource
AI operators & technology 8 min read

Why the AI operator must adapt to the workflow, not the other way round

Tools, rules, screens and controls vary from one company to another. Adapting to them must be managed as a product capability, not an endless bespoke project.

Read the resource

Next step

A workflow deserves more than a generic demonstration.

Start with a real case, the tools your team actually uses and the decisions that still require the most context.

Discuss your workflow